Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/448317
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | NA | |
dc.date.accessioned | 2023-01-18T04:28:52Z | - |
dc.date.available | 2023-01-18T04:28:52Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/448317 | - |
dc.description.abstract | NA newline | |
dc.format.extent | NA | |
dc.language | English | |
dc.relation | NA | |
dc.rights | university | |
dc.title | A Design and Analysis of Predictive Models for Market Friction Using Data Mining Technique | |
dc.title.alternative | NA | |
dc.creator.researcher | Sharma, Shishir Kumar | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | NA | |
dc.contributor.guide | Sanjay Kumar | |
dc.publisher.place | Raipur | |
dc.publisher.university | Kalinga University | |
dc.publisher.institution | Faculty of Information Technology | |
dc.date.registered | 2018 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | NA | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01 title.pdf | Attached File | 163.15 kB | Adobe PDF | View/Open |
02 prelim page.pdf | 1.13 MB | Adobe PDF | View/Open | |
03 content.pdf | 436.88 kB | Adobe PDF | View/Open | |
04 abstract.pdf | 1.72 MB | Adobe PDF | View/Open | |
05 chap. one.pdf | 1.49 MB | Adobe PDF | View/Open | |
06 chap. two.pdf | 1.37 MB | Adobe PDF | View/Open | |
07 chap. three.pdf | 1.58 MB | Adobe PDF | View/Open | |
08 chap. four.pdf | 1.45 MB | Adobe PDF | View/Open | |
09 chap. five.pdf | 1.51 MB | Adobe PDF | View/Open | |
10 chap. six.pdf | 1.64 MB | Adobe PDF | View/Open | |
11 chap. seven.pdf | 1.32 MB | Adobe PDF | View/Open | |
12 annexures.pdf | 1.41 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 2.56 MB | Adobe PDF | View/Open |
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